Triple
T15308588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Havre urban area |
E365969
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Gainneville
Gainneville is a French commune in the Seine-Maritime department of Normandy, situated near the port city of Le Havre.
|
E1149574
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gainneville | Statement: [Le Havre urban area, hasPart, Gainneville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gainneville Context triple: [Le Havre urban area, hasPart, Gainneville]
-
A.
Gretna
Gretna is a small but rapidly growing city in eastern Nebraska, known for its convenient location near Omaha and attractions like the Nebraska Crossing outlet mall.
-
B.
Gretna
Gretna is a small Scottish town near the England–Scotland border, historically famous as a destination for runaway weddings.
-
C.
Halliford
Halliford is a locality in Surrey, England, known as part of the Shepperton and Upper Halliford suburban area within the London commuter belt.
-
D.
Pineville
Pineville is a small town in southern West Virginia that serves as the administrative and commercial center of Wyoming County.
-
E.
Largent
Largent is a surname most prominently associated with Steve Largent, a Hall of Fame American football wide receiver and former U.S. congressman.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gainneville Triple: [Le Havre urban area, hasPart, Gainneville]
Generated description
Gainneville is a French commune in the Seine-Maritime department of Normandy, situated near the port city of Le Havre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gainneville Target entity description: Gainneville is a French commune in the Seine-Maritime department of Normandy, situated near the port city of Le Havre.
-
A.
Gretna
Gretna is a small but rapidly growing city in eastern Nebraska, known for its convenient location near Omaha and attractions like the Nebraska Crossing outlet mall.
-
B.
Gretna
Gretna is a small Scottish town near the England–Scotland border, historically famous as a destination for runaway weddings.
-
C.
Halliford
Halliford is a locality in Surrey, England, known as part of the Shepperton and Upper Halliford suburban area within the London commuter belt.
-
D.
Pineville
Pineville is a small town in southern West Virginia that serves as the administrative and commercial center of Wyoming County.
-
E.
Largent
Largent is a surname most prominently associated with Steve Largent, a Hall of Fame American football wide receiver and former U.S. congressman.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd001b48190bbdd69337efdb907 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef89feda88190b18f6a03d6e968aa |
completed | May 9, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_69fefa13e8508190930a22439b7f154a |
completed | May 9, 2026, 9:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fefa80be14819089e87e7bdb3af7ec |
completed | May 9, 2026, 9:12 a.m. |
Created at: April 10, 2026, 3:16 a.m.